Powabase
All-in-one backend platform for AI apps with Postgres, RAG, agents, and visual workflows.
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Product Overview
What is Powabase?
Powabase is a backend-as-a-service platform designed specifically for building AI-native applications. It consolidates the entire AI application stack—Postgres database with pgvector, authentication, object storage, realtime features, RAG pipelines, agent runtime, and visual workflow builder—into a single platform. Instead of stitching together 6-8 different tools and writing extensive glue code, developers can provision a complete AI backend in one click. The platform is fine-tuned for coding agents like Claude Code, Codex, and Cursor, enabling teams to ship AI applications in about 1 week from zero to MVP with 2-4× lower build cost and up to 70% token savings on optimized agent setups.
Key Features
Per-Project Postgres Backend
Dedicated Postgres database with pgvector, Row Level Security (RLS), Supabase-style auth, object storage, and realtime capabilities. Access via PostgREST, REST/GraphQL-style API, or direct database connection.
Built-In RAG Pipeline
Upload PDFs, images, office files, or URLs—Powabase extracts, chunks, embeds, and indexes them with 91% OCR accuracy and 98.7% RAG accuracy on FinanceBench. Includes BM25, pgvector, hybrid search, SOTA rerankers, and multimodal content indexing with four strategies: ChunkEmbed, PageIndex, GraphIndex, and Doc2JSON.
Multi-Agent Runtime with ReAct
Define ReAct orchestrations with multiple LLMs (OpenAI, Anthropic, Google, OpenRouter), knowledge bases, and tools. Streams over SSE with fully logged retrieval events, tool calls, token deltas, and citations. Built-in tools include web search and code execution; add custom tools via HTTP or MCP.
Visual Workflow Builder
Drag-and-drop multi-step agent workflows connecting triggers, conditions, agents, HTTP calls, and code blocks. Natural-language copilot designs flows automatically. Deploy workflows as HTTP endpoints with API access.
Dedicated Project Isolation
Each project runs on its own dedicated stack with separate compute, storage, and vector index. Secure, compliant, with no noisy neighbors and automatic backups.
Flexible Deployment Options
Choose managed Powabase Cloud (provisioned in seconds), self-hosted via Docker/Kubernetes with Helm chart, or bring your own LLM keys. Data residency options for US and EU, SOC 2 compliance available for Enterprise.
Use Cases
- AI App Development : Developers and agencies build production-grade AI-native applications faster without stitching together fragmented infrastructure. Ship from zero to MVP in about 1 week.
- Enterprise AI Automation : In-house IT teams add AI automation to existing products or build new AI apps with enterprise-grade security, SOC 2 compliance, SSO, audit logs, and regional data residency.
- Document Intelligence Systems : Build RAG-powered applications that ingest PDFs, DOCX, images, and URLs with multimodal embeddings, entity-relation graph indexing, and multi-hop query support for finance, legal, and research domains.
- Multi-Agent Orchestration : Create complex agent systems with ReAct loops, multiple LLMs, custom tools, and full observability into reasoning, tokens, RAG context, and tool calls for customer support, research, and data analysis.
- API-First Automation Workflows : Design visual workflows with the AI copilot, deploy as HTTP endpoints, and automate multi-step processes involving agents, external APIs, and code execution for business operations.
FAQs
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